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  [November 11th, 2024]
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  EasyFluffXLVpred/Iter is a more experimental checkpoint that utliizes NoobAI-XL's 0.5 V-Prediction checkpoint to convert the model to Vpred, which brings some advantages ranging from better colors and better prompt following. It also merges in Itercomp for the Iter version.
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  Epsilon-prediction checkpoints are a WIP as it's hard to bring parity in performance between the two.
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  LoRas trained on Noob 1.0 should still work adequately on this merge. If training a LoRA, I still reccomend training directly on NoobAI-XL 1.0.
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- Generally safe settings are ~4 CFG (higher than 4 can become noticably too saturated without rescale), Euler A, and Beta sheduler.
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  I reccomend using an up-to-date Forge/ReForge as they automatically detect the `vpred` and `tznsr` key I've added to the state_dict of both models and inference as V-Prediction/ZSNR. Forge currently doesn't have RescaleCFG extension built in, but ReForge does. However I have included a backport of RescaleCFG for Forge in this repo that may work unless the code has changed since creating it. Extract it into extensions-builtin.
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  Alternatively I reccomend using an up-to-date ComfyUI. As of https://github.com/comfyanonymous/ComfyUI/commit/8b275ce5be29ff7d847c3c4c2f3fea1faa68e07b ComfyUI will also automatically detect that the model is V-Prediction/ZSNR and set it for you.
 
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+ PSA: Avoid using Beta scheduler for the Vpred checkpoints on Forge/ReForge. It doesn't work.
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  [November 11th, 2024]
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  EasyFluffXLVpred/Iter is a more experimental checkpoint that utliizes NoobAI-XL's 0.5 V-Prediction checkpoint to convert the model to Vpred, which brings some advantages ranging from better colors and better prompt following. It also merges in Itercomp for the Iter version.
6
  Epsilon-prediction checkpoints are a WIP as it's hard to bring parity in performance between the two.
7
  LoRas trained on Noob 1.0 should still work adequately on this merge. If training a LoRA, I still reccomend training directly on NoobAI-XL 1.0.
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+ Generally safe settings are ~4 CFG (higher than 4 can become noticably too saturated without rescale), Euler A, and Normal scheduler.
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  I reccomend using an up-to-date Forge/ReForge as they automatically detect the `vpred` and `tznsr` key I've added to the state_dict of both models and inference as V-Prediction/ZSNR. Forge currently doesn't have RescaleCFG extension built in, but ReForge does. However I have included a backport of RescaleCFG for Forge in this repo that may work unless the code has changed since creating it. Extract it into extensions-builtin.
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  Alternatively I reccomend using an up-to-date ComfyUI. As of https://github.com/comfyanonymous/ComfyUI/commit/8b275ce5be29ff7d847c3c4c2f3fea1faa68e07b ComfyUI will also automatically detect that the model is V-Prediction/ZSNR and set it for you.